Hagai Kirshner

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2014

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data.

[BibT_eX]

[DOI]

John Paul Ward

IEEE Trans. Signal Process., 2014

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes - Part II: Discrete-Domain Theory.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

2013

Continuous localization using sparsity constraints for high-density super-resolution microscopy.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Can localization microscopy benefit from approximation theory?

[BibT_eX]

[DOI]

Cédric Vonesch

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Linear interpolation of biomedical images using a data-adaptive kernel.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Benchmarking image-processing algorithms for biomicroscopy: Reference datasets and perspectives.

[BibT_eX]

[DOI]

Daniel Sage

Cédric Vonesch

Stamatios Lefkimmiatis

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

[BibT_eX]

[DOI]

John Paul Ward

IEEE Signal Process. Lett., 2012

A PSF-based approach to Biplane calibration in 3D super-resolution microscopy.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

A Sampling Theory Approach for Continuous ARMA Identification.

[BibT_eX]

[DOI]

Simona Maggio

IEEE Trans. Signal Process., 2011

A unified formulation of Gaussian vs. sparse stochastic processes - Part II: Discrete-domain theory

[BibT_eX]

[DOI]

CoRR, 2011

Resolution-invariant separable ARMA modeling of images.

[BibT_eX]

[DOI]

Aurélien Bourquard

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Continuous-time AR model identification: Does sampling rate really matter?

[BibT_eX]

[DOI]

Simona Maggio

Proceedings of the 18th European Signal Processing Conference, 2010

A stochastic minimum-norm approach to image and texture interpolation.

[BibT_eX]

[DOI]

Proceedings of the 18th European Signal Processing Conference, 2010

2009

On the Role of Exponential Splines in Image Interpolation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2009

A stochastic model-based approach to image and texture interpolation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

On spectral estimation and Fourier transform approximation from sampled data.

[BibT_eX]

[DOI]

Proceedings of the 17th European Signal Processing Conference, 2009

2008

Are polynomial models optimal for image interpolation?

[BibT_eX]

[DOI]

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

On the Approximation of L<sub>2</sub> Inner Products From Sampled Data.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2007

Minimax Approximation of Representation Coefficients From Generalized Samples.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2007

On Optimal Derivative DSP Operators for Sampled Data.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Digital Signal Processing, 2007

On interpolation of differentially structured images.

[BibT_eX]

[DOI]

Proceedings of the 15th European Signal Processing Conference, 2007

2006

Approximating Representation Coefficients From Non Ideal Samples.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On signal representation from generalized samples: Minmax approximation with constraints.

[BibT_eX]

[DOI]

Proceedings of the 14th European Signal Processing Conference, 2006

2005

On the representation error of digitized signals.

[BibT_eX]

[DOI]